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tamaas/src/SConscript
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SConscript
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# -*- mode:python; coding: utf-8 -*-
# vim: set ft=python:
# @file
# @section LICENSE
#
# Copyright (©) 2016-2020 EPFL (École Polytechnique Fédérale de Lausanne),
# Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
import os
Import('main_env')
def prepend(path, list):
return [os.path.join(path, x) for x in list]
env = main_env.Clone()
# Core
core_list = """
fft_engine.cpp
grid.cpp
grid_hermitian.cpp
statistics.cpp
surface.cpp
tamaas.cpp
legacy_types.cpp
loop.cpp
computes.cpp
logger.cpp
""".split()
if env['legacy_bem']:
core_list.append('surface_statistics.cpp')
core_list = prepend('core', core_list)
info_file = main_env.Substfile('tamaas_info.cpp', 'tamaas_info.cpp.in')
core_list.append(info_file)
# Lib roughcontact
generator_list = """
surface_generator.cpp
surface_generator_filter.cpp
surface_generator_filter_fft.cpp
surface_generator_random_phase.cpp
isopowerlaw.cpp
regularized_powerlaw.cpp
""".split()
generator_list = prepend('surface', generator_list)
# Lib PERCOLATION
percolation_list = """
flood_fill.cpp
""".split()
percolation_list = prepend('percolation', percolation_list)
# BEM PERCOLATION
bem_list = """
bem_kato.cpp
bem_polonski.cpp
bem_gigi.cpp
bem_gigipol.cpp
bem_penalty.cpp
bem_uzawa.cpp
bem_fft_base.cpp
bem_functional.cpp
bem_meta_functional.cpp
elastic_energy_functional.cpp
exponential_adhesion_functional.cpp
squared_exponential_adhesion_functional.cpp
maugis_adhesion_functional.cpp
complimentary_term_functional.cpp
bem_grid.cpp
bem_grid_polonski.cpp
bem_grid_kato.cpp
bem_grid_teboulle.cpp
bem_grid_condat.cpp
""".split()
bem_list = prepend('bem', bem_list)
# Model
model_list = """
model.cpp
model_factory.cpp
model_type.cpp
model_template.cpp
integral_operator.cpp
be_engine.cpp
westergaard.cpp
elastic_functional.cpp
meta_functional.cpp
adhesion_functional.cpp
volume_potential.cpp
kelvin.cpp
mindlin.cpp
boussinesq.cpp
elasto_plastic/isotropic_hardening.cpp
elasto_plastic/residual.cpp
integration/element.cpp
""".split()
model_list = prepend('model', model_list)
# Solvers
solvers_list = """
contact_solver.cpp
polonsky_keer_rey.cpp
kato_saturated.cpp
kato.cpp
beck_teboulle.cpp
condat.cpp
polonsky_keer_tan.cpp
ep_solver.cpp
dfsane_solver.cpp
epic.cpp
""".split()
solvers_list = prepend('solvers', solvers_list)
# GPU API
gpu_list = """
fftransform_cufft.cpp
""".split()
gpu_list = prepend('gpu', gpu_list)
# Assembling total list
rough_contact_list = \
core_list + generator_list + percolation_list + model_list + solvers_list
# Adding legacy code
if env['legacy_bem']:
rough_contact_list += bem_list
# Adding GPU if needed
if env['backend'] == 'cuda':
rough_contact_list += gpu_list
# Adding extra warnings for Tamaas base lib
env.AppendUnique(CXXFLAGS=['-Wextra'])
# Allowing libTamaas.so to find libs in the same directory
env.AppendUnique(RPATH=["'$$$$ORIGIN'"])
# Build static library for packaging
if env['build_static_lib']:
env.AppendUnique(CXXFLAGS='-fPIC')
libTamaas = env.StaticLibrary('Tamaas', rough_contact_list)
# Build shared library (default)
else:
libTamaas = env.SharedLibrary('Tamaas', rough_contact_list,
SHLIBVERSION=env['version'])
# Defining alias for cpp builds
main_env.Alias('build-cpp', libTamaas)
# Specify install target to install lib
lib_prefix = os.path.join(env['prefix'], 'lib')
lib_install = env.InstallVersionedLib(target=lib_prefix,
source=libTamaas)
main_env.Alias('install-lib', lib_install)
# Export target for use in python builds
Export('libTamaas')
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